Binary Vals

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# Load data
merged_data = pd.read_csv("../data/merged_data.csv")

# Define bins and labels for firearm mortality
bins = [0, 10, 15, 20, 25, merged_data['firearm_mortality_by_state_2022'].max()]
labels = ["Very Low", "Low", "Moderate", "High", "Very High"]

# Categorize firearm mortality rates
merged_data['mortality_category'] = pd.cut(
    merged_data['firearm_mortality_by_state_2022'], bins=bins, labels=labels
)

# Define custom color palette
palette = {
    "Very Low": "#1c7416", 
    "Low": "#68bb59", 
    "Moderate": "#fab733", 
    "High": "#ff0000", 
    "Very High": "#c61a09"
}

# Create box plot
plt.figure(figsize=(10, 6))
sns.boxplot(
    data=merged_data, 
    x='mortality_category', 
    y='drug_overdose_mortality_rate', 
    palette=palette
)

# Format plot to match the reference image
plt.title("Drug Overdose Mortality Rate by Firearm Mortality Category", fontsize=14)
plt.xlabel("Firearm Mortality Category", fontsize=12)
plt.ylabel("Drug Overdose Mortality Rate (per 100,000)", fontsize=12)
plt.xticks(rotation=45, fontsize=10)
plt.yticks(fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/1811605847.py:28: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

plt.figure(figsize=(10, 6))
sns.boxplot(
    data=merged_data, 
    x='mortality_category', 
    y='state_ranking_in_mental_health_in_adults', 
    palette=palette,
    width=0.6
)

# Format plot
plt.title("State Ranking in Mental Health in Adults by Firearm Mortality Category", fontsize=14)
plt.xlabel("Firearm Mortality Category", fontsize=12)
plt.ylabel("State Ranking in Mental Health (Lower is Better)", fontsize=12)
plt.xticks(rotation=45, fontsize=10)
plt.yticks(fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/2925012457.py:2: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

plt.figure(figsize=(10, 6))
sns.boxplot(
    data=merged_data, 
    x='mortality_category', 
    y='domestic_violence_shelters', 
    palette=palette,
    width=0.6
)

# Format plot
plt.title("Number of Domestic Violence Shelters by Firearm Mortality Category", fontsize=14)
plt.xlabel("Firearm Mortality Category", fontsize=12)
plt.ylabel("Number of Domestic Violence Shelters", fontsize=12)
plt.xticks(rotation=45, fontsize=10)
plt.yticks(fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/565574178.py:2: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

plt.figure(figsize=(10, 6))
sns.boxplot(
    data=merged_data, 
    x='mortality_category', 
    y='unemployment_rate', 
    palette=palette,
    width=0.6
)

# Format plot
plt.title("Unemployment Rate by Firearm Mortality Category", fontsize=14)
plt.xlabel("Firearm Mortality Category", fontsize=12)
plt.ylabel("Unemployment Rate (%)", fontsize=12)
plt.xticks(rotation=45, fontsize=10)
plt.yticks(fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/666588960.py:2: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

plt.figure(figsize=(10, 6))
sns.boxplot(
    data=merged_data, 
    x='mortality_category', 
    y='labor_participation_women_percentage', 
    palette=palette,
    width=0.6
)

# Format plot
plt.title("Labor Participation of Women by Firearm Mortality Category", fontsize=14)
plt.xlabel("Firearm Mortality Category", fontsize=12)
plt.ylabel("Labor Participation of Women (%)", fontsize=12)
plt.xticks(rotation=45, fontsize=10)
plt.yticks(fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/4226980556.py:2: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

plt.figure(figsize=(10, 6))
sns.boxplot(
    data=merged_data, 
    x='mortality_category', 
    y='missing_person_by_state', 
    palette=palette,
    width=0.6
)

# Format plot
plt.title("Number of Missing Persons by Firearm Mortality Category", fontsize=14)
plt.xlabel("Firearm Mortality Category", fontsize=12)
plt.ylabel("Number of Missing Persons", fontsize=12)
plt.xticks(rotation=45, fontsize=10)
plt.yticks(fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/2250685414.py:2: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

plt.figure(figsize=(10, 6))
sns.boxplot(
    data=merged_data, 
    x='mortality_category', 
    y='gun_ownership_rates_per_state', 
    palette=palette,
    width=0.6
)

# Format plot
plt.title("Gun Ownership Rates by Firearm Mortality Category", fontsize=14)
plt.xlabel("Firearm Mortality Category", fontsize=12)
plt.ylabel("Gun Ownership Rate (%)", fontsize=12)
plt.xticks(rotation=45, fontsize=10)
plt.yticks(fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/4035193299.py:2: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

plt.figure(figsize=(10, 6))
sns.boxplot(
    data=merged_data, 
    x='mortality_category', 
    y='suicide_by_firearms', 
    palette=palette,
    width=0.6
)

# Format plot
plt.title("Suicides by Firearms by Firearm Mortality Category", fontsize=14)
plt.xlabel("Firearm Mortality Category", fontsize=12)
plt.ylabel("Number of Suicides by Firearms", fontsize=12)
plt.xticks(rotation=45, fontsize=10)
plt.yticks(fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/2903196679.py:2: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

plt.figure(figsize=(10, 6))
sns.boxplot(
    data=merged_data, 
    x='mortality_category', 
    y='firearm_mortality_rate_children_one_to_nine_years_old', 
    palette=palette,
    width=0.6
)

# Format plot
plt.title("Firearm Mortality Rate (Ages 1-9) by Firearm Mortality Category", fontsize=14)
plt.xlabel("Firearm Mortality Category", fontsize=12)
plt.ylabel("Firearm Mortality Rate (Ages 1-9) per 100,000", fontsize=12)
plt.xticks(rotation=45, fontsize=10)
plt.yticks(fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/422796669.py:2: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

plt.figure(figsize=(10, 6))
sns.boxplot(
    data=merged_data, 
    x='mortality_category', 
    y='dv_people_to_shelter', 
    palette=palette,
    width=0.6
)

# Format plot
plt.title("Domestic Violence Survivors per Shelter by Firearm Mortality Category", fontsize=14)
plt.xlabel("Firearm Mortality Category", fontsize=12)
plt.ylabel("DV Survivors per Shelter", fontsize=12)
plt.xticks(rotation=45, fontsize=10)
plt.yticks(fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/176810535.py:2: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

plt.figure(figsize=(10, 6))
sns.boxplot(
    data=merged_data, 
    x='mortality_category', 
    y='dv_spending_per_person', 
    palette=palette,
    width=0.6
)

# Format plot
plt.title("Domestic Violence Spending per Person by Firearm Mortality Category", fontsize=14)
plt.xlabel("Firearm Mortality Category", fontsize=12)
plt.ylabel("DV Spending per Person (USD)", fontsize=12)
plt.xticks(rotation=45, fontsize=10)
plt.yticks(fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/1832011546.py:2: FutureWarning:



Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.

print(merged_data.columns)

Index(['State', 'drug_overdose_mortality_rate', 'total_abortion_ban',
       'abortion_protectiveness', 'access_to_mental_health_care_ranking',
       'state_ranking_in_mental_health_in_youth',
       'state_ranking_in_mental_health_in_adults',
       'domestic_violence_shelters', 'dv_people_to_shelter', 'population',
       'dv_spending_per_person', 'domestic_violence_spending_by_state',
       'unemployment_rate', 'labor_participation_women_percentage',
       'prohibition_for_stalkers', 'abusers_turn_in_gun_after_conviction',
       'prohibition_for_domestic_abusers',
       'prohibition_for_convicted_domestic_abusers', 'waiting_period',
       'mental_health_in_background_check',
       'funding_for_violence_intervention',
       'no_purchase_after_violent_offense', 'age_requirement',
       'mentaI_illness_prohibitor', 'hate_crime_prohibitor',
       'gun_removal_program', 'fugitive_from_justice_prohibitor',
       'felony prohibitor', 'restraining_order_prohibitor', 'no_open_carry',
       'no_guns_in_k_through_twelve_schools', 'no_guns_at_demonstrations',
       'no_guns_on_college_campuses',
       'bar_concealed_carry_by_people_with_violent_misdemeanors',
       'high_capacity_magazines_prohibited', 'dealer_lisence_required',
       'asault_weapons_prohibited', 'secure_storage_child_access_laws',
       'rejected_shoot_first_laws', 'red_flag_laws',
       'background_check_or_purchase_permit',
       'concealed_carry_permit_required', 'extreme_risk_law',
       'missing_person_by_state', 'gun_ownership_rates_per_state',
       'suicide_by_firearms', 'firearm_mortality_by_state_2022',
       'school_shootings_by_state_2024',
       'firearm_mortality_rate_children_one_to_nine_years_old',
       'mortality_category'],
      dtype='object')

import matplotlib.pyplot as plt
import seaborn as sns

palette = {
    "Very Low": "#1c7416", 
    "Low": "#68bb59", 
    "Moderate": "#fab733", 
    "High": "#ff0000", 
    "Very High": "#c61a09"
}

plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="prohibition_for_stalkers", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Prohibition for Stalkers Policy", fontsize=14)
plt.xlabel("Prohibition for Stalkers Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/3876184127.py:28: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "abusers_turn_in_gun_after_conviction"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="abusers_turn_in_gun_after_conviction", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Gun Surrender Requirement for Abusers", fontsize=14)
plt.xlabel("Gun Surrender Policy for Convicted Abusers", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/3048638824.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "prohibition_for_domestic_abusers"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="prohibition_for_domestic_abusers", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Prohibition for Domestic Abusers", fontsize=14)
plt.xlabel("Prohibition for Domestic Abusers Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/3934125866.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "prohibition_for_convicted_domestic_abusers"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="prohibition_for_convicted_domestic_abusers", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Prohibition for Convicted Domestic Abusers", fontsize=14)
plt.xlabel("Prohibition for Convicted Domestic Abusers Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/3839386420.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "waiting_period"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="waiting_period", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Waiting Period Policy", fontsize=14)
plt.xlabel("Waiting Period Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/1822672756.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "mental_health_in_background_check"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="mental_health_in_background_check", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Mental Health in Background Check Policy", fontsize=14)
plt.xlabel("Mental Health in Background Check Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/106397173.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "funding_for_violence_intervention"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="funding_for_violence_intervention", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Funding for Violence Intervention", fontsize=14)
plt.xlabel("Funding for Violence Intervention Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/2652022068.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "no_purchase_after_violent_offense"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="no_purchase_after_violent_offense", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by No Purchase After Violent Offense Policy", fontsize=14)
plt.xlabel("No Purchase After Violent Offense Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/2321388789.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "age_requirement"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="age_requirement", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Age Requirement Policy", fontsize=14)
plt.xlabel("Age Requirement Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/1506350671.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "mental_illness_prohibitor"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="mentaI_illness_prohibitor", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Mental Illness Prohibitor Policy", fontsize=14)
plt.xlabel("Mental Illness Prohibitor Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/1773839626.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "hate_crime_prohibitor"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="hate_crime_prohibitor", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Hate Crime Prohibitor Policy", fontsize=14)
plt.xlabel("Hate Crime Prohibitor Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/122475679.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "gun_removal_program"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="gun_removal_program", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Gun Removal Program Policy", fontsize=14)
plt.xlabel("Gun Removal Program Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/3174775299.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "fugitive_from_justice_prohibitor"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="fugitive_from_justice_prohibitor", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Fugitive from Justice Prohibitor Policy", fontsize=14)
plt.xlabel("Fugitive from Justice Prohibitor Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/1739788362.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "felony_prohibitor"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="felony prohibitor", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Felony Prohibitor Policy", fontsize=14)
plt.xlabel("Felony Prohibitor Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/2930775315.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "restraining_order_prohibitor"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="restraining_order_prohibitor", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Restraining Order Prohibitor Policy", fontsize=14)
plt.xlabel("Restraining Order Prohibitor Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/1187753872.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "no_open_carry"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="no_open_carry", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by No Open Carry Policy", fontsize=14)
plt.xlabel("No Open Carry Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/2415890846.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "no_guns_in_k_through_twelve_schools"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="no_guns_in_k_through_twelve_schools", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by No Guns in K-12 Schools Policy", fontsize=14)
plt.xlabel("No Guns in K-12 Schools Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/1104769495.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "no_guns_at_demonstrations"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="no_guns_at_demonstrations", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by No Guns at Demonstrations Policy", fontsize=14)
plt.xlabel("No Guns at Demonstrations Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/85363419.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "no_guns_on_college_campuses"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="no_guns_on_college_campuses", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by No Guns on College Campuses Policy", fontsize=14)
plt.xlabel("No Guns on College Campuses Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/738760413.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "bar_concealed_carry_by_people_with_violent_misdemeanors"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="bar_concealed_carry_by_people_with_violent_misdemeanors", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Concealed Carry Ban for People with Violent Misdemeanors", fontsize=14)
plt.xlabel("Ban on Concealed Carry for People with Violent Misdemeanors", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/3479549589.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "high_capacity_magazines_prohibited"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="high_capacity_magazines_prohibited", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by High-Capacity Magazine Prohibition Policy", fontsize=14)
plt.xlabel("High-Capacity Magazines Prohibited Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/1754383729.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "dealer_license_required"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="dealer_lisence_required", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Dealer License Requirement Policy", fontsize=14)
plt.xlabel("Dealer License Required Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/1598828547.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "assault_weapons_prohibited"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="asault_weapons_prohibited", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Assault Weapons Prohibition Policy", fontsize=14)
plt.xlabel("Assault Weapons Prohibited Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/4042303800.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "secure_storage_child_access_laws"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="secure_storage_child_access_laws", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Secure Storage & Child Access Laws", fontsize=14)
plt.xlabel("Secure Storage & Child Access Laws", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/3415678296.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "rejected_shoot_first_laws"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="rejected_shoot_first_laws", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Rejected Shoot First Laws", fontsize=14)
plt.xlabel("Rejected Shoot First Laws Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/234866186.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "red_flag_laws"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="red_flag_laws", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Red Flag Laws", fontsize=14)
plt.xlabel("Red Flag Laws Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/2769732189.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "background_check_or_purchase_permit"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="background_check_or_purchase_permit", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Background Check or Purchase Permit Policy", fontsize=14)
plt.xlabel("Background Check or Purchase Permit Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/2676269926.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "concealed_carry_permit_required"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="concealed_carry_permit_required", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Concealed Carry Permit Requirement Policy", fontsize=14)
plt.xlabel("Concealed Carry Permit Required Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/3001951385.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "extreme_risk_law"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="extreme_risk_law", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Extreme Risk Law Policy", fontsize=14)
plt.xlabel("Extreme Risk Law Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/451092298.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

# Create the stacked bar plot for "total_abortion_ban"
plt.figure(figsize=(10, 6))
sns.histplot(
    data=merged_data, 
    x="total_abortion_ban", 
    hue="mortality_category", 
    multiple="fill", 
    shrink=0.8, 
    palette=palette
)

# Format plot
plt.title("Firearm Mortality Rates by Total Abortion Ban Policy", fontsize=14)
plt.xlabel("Total Abortion Ban Policy", fontsize=12)
plt.ylabel("Proportion", fontsize=12)
plt.xticks(fontsize=10)
plt.yticks(fontsize=10)
plt.legend(title="Firearm Mortality Level", fontsize=10)
plt.grid(axis='y', linestyle='--', alpha=0.7)

# Show plot
plt.show()

/var/folders/gf/ppk7yck96gx15bzg93b7fysm0000gn/T/ipykernel_2202/2161908046.py:18: UserWarning:

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.